A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity

Abstract

Obesity and its complications is one of the main issues in today’s world and is increasing rapidly. A wide range of non-contagious diseases, for instance, diabetes type 2, cardiovascular, high blood pressure and stroke, numerous types of cancer, and mental health issues are formed following obesity. According to the WHO, Malaysia is the sixth Asian country with an adult population suffering from obesity. Therefore, identifying risk factors associated with obesity among Malaysian adults is necessary. For this purpose, this study strives to investigate and assess the risk factors related to obesity and overweight in this country. A quantitative approach was employed by surveying 26 healthcare professionals by questionnaire. Collected data were analyzed with the DEMATEL and Fuzzy Rule-Based methods. We found that lack of physical activity, insufficient sleep, unhealthy diet, genetics, and perceived stress were the most significant risk factors for obesity.

A proposed method for quality evaluation of COVID-19 reusable face mask

“…92 The collected data using the survey-based approach are analyzed quantitively using several techniques such as Structural Equation Modeling (SEM) 93 and multicriteria decision making techniques. [94][95][96][97] Consumer reviews are posted by consumers regarding their actual experiences of a particular item or service and browsed by other individuals who seek to use the item or utilize the service. Consumer reviews present a massive amount of consumer-generated content on websites, social media platforms, and applications.…”